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Rainfall data in - filling model with expectation maximization and artificial neural network

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Bibliographic Details
Main Author: Abdul Malek, Marlinda
Format: Thesis
Published: 2008
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/36173/
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spelling my.utm.361732013-12-30T00:47:07Z http://eprints.utm.my/id/eprint/36173/ Rainfall data in - filling model with expectation maximization and artificial neural network Abdul Malek, Marlinda TA Engineering (General). Civil engineering (General) 2008 Thesis NonPeerReviewed Abdul Malek, Marlinda (2008) Rainfall data in - filling model with expectation maximization and artificial neural network. PhD thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering .
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Abdul Malek, Marlinda
Rainfall data in - filling model with expectation maximization and artificial neural network
format Thesis
author Abdul Malek, Marlinda
author_facet Abdul Malek, Marlinda
author_sort Abdul Malek, Marlinda
title Rainfall data in - filling model with expectation maximization and artificial neural network
title_short Rainfall data in - filling model with expectation maximization and artificial neural network
title_full Rainfall data in - filling model with expectation maximization and artificial neural network
title_fullStr Rainfall data in - filling model with expectation maximization and artificial neural network
title_full_unstemmed Rainfall data in - filling model with expectation maximization and artificial neural network
title_sort rainfall data in - filling model with expectation maximization and artificial neural network
publishDate 2008
url http://eprints.utm.my/id/eprint/36173/
_version_ 1643649914331201536
score 13.159267

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